评价的舌头骨折模式,以后的斜裂与低和短的中间骨折
Collin A Ritchie1, Lauren Hayes2, Guihua Zhai3
1Resident-in-Training, Department of Oral and Maxillofacial Surgery, University of Alabama at Birmingham School of Dentistry, Birmingham, AL.
概括
带有低和短的中间骨质切除修改的斜骨骨架骨切除术 (SRO) 显示出可预测的语言分裂尺度 (LSS) 模式. 这种修改导致了较高的有利分裂率 (97.8%),不有利的分裂仅发生在2.2%的病例中.
科学领域:
- 口腔和牙面部外科手术
- 整形手术 整形手术 整形手术
- 手术解剖学手术解剖学
背景情况:
- 语言分裂尺度 (LSS) 客观地分类了在骨骨架骨折 (SRO) 期间的骨分裂,LSS1-3表示有利的结果,LSS4表示不利的分裂.
- 骨关节系统影响关键的术后因素,如骨重叠,闭塞干扰和固定策略.
- 没有先前的研究调查了LSS模式,特别是使用低和短的中间骨折修饰SRO后的LSS模式.
研究的目的:
- 用低和短的中间骨折修改SRO后的远端段的语言骨折模式的特征,如LSS所定义的.
主要方法:
- 一项回顾性队列研究包括210名受试者 (419名半子患者),他们接受了由一名外科医生进行的低和短中间骨质切除修改的SRO.
- 评估了解剖学变量 (骨架的宽度/长度,骨架的高度) 和程序变量 (骨切割中间的高度/角度,靠近骨架/下管道,第三骨的切除).
- 使用多变量回归分析,考虑半关联和主体因素,以确定与LSS结果的显著关联 (P < .05).
主要成果:
- 大多数SRO导致了有利的分裂:62.8%的LSS1 (垂直),1.9%的LSS2 (水平) 和33.2%的LSS3 (沿下沟通道).
- 不利的分裂 (LSS4) 仅在2.2%的病例中观察到.
- 在评估的解剖学或程序变量与不良骨折的发生之间没有发现统计学意义上的关联 (LSS4).
结论:
- 使用低和短的中间骨切除修改的 Sagittal ramus 骨切除表明在实现有利的语言分裂模式方面具有很高的可预测性.
- 在97.8%的程序中,修改始终产生了有利的LSS结果 (LSS1-3).
- 该研究没有确定特定的手术前或手术过程变量,这些变量可以预测这种技术不利的语言分裂模式 (LSS4).
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